CN1715551A - Detecting method and device for textile bias filling - Google Patents
Detecting method and device for textile bias filling Download PDFInfo
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- CN1715551A CN1715551A CN 200410060096 CN200410060096A CN1715551A CN 1715551 A CN1715551 A CN 1715551A CN 200410060096 CN200410060096 CN 200410060096 CN 200410060096 A CN200410060096 A CN 200410060096A CN 1715551 A CN1715551 A CN 1715551A
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Abstract
The bias filling detecting method includes obtaining image of textile including the bias filling information with some video camera device; processing the image and analyzing the image to obtain the bias filling of textile. The present invention has the measurement precision maintained, and the detection equipment has light weight, raised reliability, prolonged service life and widened application range. The present invention also provides one kind of bias filling detecting equipment.
Description
Technical field
The present invention relates to a kind of detection method of textiles skew of weft, especially adopt the detection method of picture pick-up device and image processing techniques.The invention still further relates to a kind of checkout gear of textiles skew of weft.
Background technology
The skew of weft of textiles and latitude are curved to be to weigh textiles grade and even whether qualified important indicator.Textiles is in process of manufacture such as stamp, dyeing, hanging and typing, it is curved to produce skew of weft and latitude inevitably, this skew of weft and latitude are curved must put in order the latitude processing through whole latitude instrument, and the size of whole latitude instrument movement range needs to decide according to skew of weft and the curved degree of latitude.Therefore, the detection of textiles skew of weft just becomes accurately extremely important prerequisite whether of the whole latitude action of whole latitude instrument.
Skew of weft detection method commonly used in the prior art is rotating scanner method and fixed slit method.
The checkout equipment basic comprising of rotating scanner method is light source, light-sensitive device and rotation slit three parts.To rotate slit and be positioned in the middle of textiles and the light-sensitive device, and provide illumination for it thereby light source is used to shine textiles, radiation modality can adopt transmission and two kinds of reflections according to the thickness of textiles.The light of textiles transmission or reflection is converted into the ac signal output that changes with the parallel synchronized movement after being received by light-sensitive device through the rotation slit.When slit was parallel with parallel, the amplitude of light-sensitive device output signal reached maximum.Like this, the amplitude of light-sensitive device output signal rotates slit and the horizontal angle of inclination of checkout equipment is exactly the angle of inclination of textiles parallel in this checkout equipment present position when maximum.Lay a plurality of skew of weft checkout equipments along the direction of textiles parallel, the testing result of whole each skew of weft checkout equipment of latitude instrument integrated treatment can calculate the skew of weft and the latitude of textiles and bend.
The fixed slit method is the skew of weft detection method of using before rotating scanner method occurs, and its performance is still not as rotating scanner method.
Rotating scanner method and fixed slit method are better for the textiles detection effect of high-speed motion, but relatively poor for the textiles detection effect of low-speed motion, even can lose detectability when textiles is static.Moreover, the testing result of checkout equipment in fact is textiles parallel and the horizontal angle of inclination of checkout equipment, when checkout equipment horizontal line and textile machine maintenance level are that the checkout equipment horizontal line is when vertical with the textiles warp, this angle is promptly represented the skew of weft of textiles, and the installation of checkout equipment will be introduced measure error.So checkout equipment is had relatively high expectations to installation accuracy, installation accuracy will directly influence certainty of measurement.
Summary of the invention
The detection method that the purpose of this invention is to provide a kind of textiles skew of weft, its certainty of measurement is higher, and certainty of measurement is not subjected to the restriction of textiles movement velocity, and Installation and Debugging are simple.
According to the detection method of textiles skew of weft of the present invention, it comprises following step at least: the image of (a) taking textiles to be measured with picture pick-up device; (b) picture signal that above-mentioned steps is photographed is handled, and obtains the skew of weft of textiles at the picture pick-up device place.
In detection method one preferred implementation of the present invention, step (b) comprises the warp-wise composition that filters out in the taken picture signal, it is the periodicity brightness variation on the horizontal direction, only keep the broadwise composition, be the cyclically-varying of brightness on the vertical direction, therefrom determine textiles equator or row angle of inclination with respect to picture pick-up device.
In a preferred implementation of detection method of the present invention, step (b) also comprises the broadwise composition that filters out in the taken picture signal, it is the periodicity brightness variation on the vertical direction, only keep the warp-wise composition, it is the cyclically-varying of brightness on the horizontal direction, therefrom determine textiles middle longitude or wale angle of inclination, obtain the skew of weft of textiles with respect to the angle of inclination of picture pick-up device and textiles middle longitude or wale with respect to the angle of inclination of picture pick-up device at the picture pick-up device place by the textiles equator of being determined or row with respect to picture pick-up device.
In detection method of the present invention, wherein step (b) also can comprise the angle of inclination of direct measurement picture pick-up device with respect to textile machine, according to this angle of inclination and the textiles equator of having determined or row obtain the skew of weft of textiles with respect to the angle of inclination of picture pick-up device at the picture pick-up device place.
Detection method of the present invention had both gone for woven fabric, also went for knitted fabric.
The present invention also provides a kind of checkout gear of textiles skew of weft, and it comprises: light source, be used to shine textiles to be detected, and make textiles meet the shooting illumination condition; Picture pick-up device is used for the textiles that will detect is taken; Signal processing module is used for the picture signal that described picture pick-up device photographs is handled, and obtains the skew of weft of textiles at the picture pick-up device place; Interface is used for and whole latitude instrument and other devices communicatings, receives instruction or the concurrent censorship survey of data result data from them.
According to checkout gear of the present invention, wherein lighting device throws light on to fabric to be measured with transmission or reflection way.
Checkout gear of the present invention is applicable to woven fabric or knitted fabric.
According to skew of weft detection method of the present invention and device, be the measurement that realizes the textiles skew of weft with image processing techniques.Utilize the image of picture pick-up device acquisition textiles, in image, promptly include the information of textiles skew of weft.Signal processing module is handled by image, analyze the textile images that is obtained, the parallel that at first calculates textiles is with respect to the horizontal angle of inclination of picture pick-up device, calculates the skew of weft of textiles at the picture pick-up device place in conjunction with picture pick-up device with respect to the angle of inclination of textiles again.Each width of cloth image of Treatment Analysis promptly can be realized continuous measurement continuously, and the speed of measurement depends on the performance of picture pick-up device and the speed of signal processing module.The visual concrete condition of lighting source is selected transillumination, indirect illumination or cancellation illumination for use, adopts indirect illumination to get final product usually.Lay a plurality of skew of weft checkout equipments, the testing result of each skew of weft checkout equipment of integrated treatment can calculate the skew of weft and the latitude of textiles and bend.
Picture pick-up device can adopt two kinds of methods to obtain with respect to the angle of inclination of textiles.A kind of method is to guarantee picture pick-up device and textile machine maintenance level (angle of inclination is considered as zero) in the process of Installation and Debugging, if the level that can't guarantee is then measured the angle of inclination of picture pick-up device and textile machine.Another kind of more preferably method is similar to the detection of textiles skew of weft, by the image of Treatment Analysis textiles, calculates the angle of inclination of the warp of textiles with respect to the picture pick-up device vertical line, thereby converses the angle of inclination of picture pick-up device with respect to textiles.Second method has reduced the requirement of checkout equipment to the Installation and Debugging precision.
The method that the present invention proposes, its skew of weft detectability is not subjected to the influence of textiles movement velocity, has detectability when textiles is static equally.
Description of drawings
Shown in Figure 1 is a preferred embodiment of the invention.
After Fig. 2 illustrated the warp-wise composition that filters out in the image, the brightness in vertical direction of the caused image of the parallel of textiles changed.
The specific embodiment
With reference to Fig. 1 the specific embodiment of the present invention is described below; but be understood that; the present invention is not limited only to the described specific embodiment; these specific embodiment only are illustrative example; but not the present invention is made restriction; those skilled in the art can carry out some variations to the specific embodiment according to concrete situation, and these change all within protection scope of the present invention.
At first, the invention provides a kind of checkout gear of textiles skew of weft.As shown in Figure 1, the inventive system comprises: light source, be used to shine textiles to be detected, make textiles meet the shooting illumination condition; Picture pick-up device is used for the textiles that will detect is taken; Signal processing module is used for the picture signal that described picture pick-up device photographs is handled, and obtains the skew of weft of textiles at the picture pick-up device place; Interface is used for and whole latitude instrument and other devices communicatings, receives the concurrent censorship of instruction or data and surveys result data.
Picture pick-up device can be used solid photographic device CCD, and signaling mode adopts pal mode, and illumination can be adopted indirect illumination.The light that is reflected by textiles images in CCD behind optical lens, CCD exports the composite video signal that optical signal is converted into PAL-system to signal processing module.The information that includes the textiles skew of weft in the image information that signal processing module receives.With the woven fabric is example, wherein in the image on the horizontal direction cyclically-varying of brightness mainly be that warp by textiles causes, and the cyclically-varying of brightness mainly is that parallel by textiles causes on the vertical direction.
Certainly, picture pick-up device also can adopt other kinds, and the output signal of picture pick-up device also can be other forms.Adopt the CMOS picture pick-up device such as picture pick-up device, and the output signal of picture pick-up device can adopt the composite video signal of NTSC or SECAM-system formula and other forms of vision signal etc.
A part as checkout equipment, picture pick-up device does not produce motions such as mobile, rotation when the real work with respect to checkout equipment, therefore in the follow-up description that relates to relevant angle of inclination, unless specified otherwise is generally no longer distinguished checkout equipment and picture pick-up device.
In signal processing module, image is handled, preferably, warp-wise composition in the filtering image is promptly changed by the brightness in the horizontal direction of the caused image of the warp of textiles, make in the image after the processing and only contain the broadwise composition, promptly change by the brightness in vertical direction of the caused image of the parallel of textiles.The image processing method that can realize above-mentioned purpose in the prior art is more, what adopt in the present embodiment is 32 * 1 Wiener filter, the warp-wise composition that filters out in the image with this Wiener filter is promptly changed by the brightness in the horizontal direction of the caused image of the warp of textiles, and the broadwise composition that only keeps in the image promptly changes (seeing accompanying drawing 2) by the brightness in vertical direction of the caused image of the parallel of textiles.
Select a parallel in the image after processing (Fig. 2), on the image-region of this parallel correspondence, the pixel identical to character carries out the angle of inclination that analyzing and processing can obtain this parallel.At first set up image coordinate system, the horizontal direction of image is a transverse axis, and the vertical direction of image is the longitudinal axis, and the lower left corner of image is initial point.In the present embodiment, on the image-region of this parallel correspondence, seek the identical pixel of brightness, utilize the coordinate of these pixels in the coordinate system of having set up to do curve fit and calculate, curve fit is calculated as account form commonly used in the mathematical analysis, repeats no more here.In result of calculation, the slope h of straight line is corresponding to the tilt angle alpha of parallel with respect to image level line (also being the horizontal line of picture pick-up device), i.e. h=tg α.Select many parallels to do identical processing on image, the mean value of getting a plurality of result of calculations can improve certainty of measurement.So just can obtain the horizontal tilt angle alpha of parallel with respect to picture pick-up device.
The following describes the angle of inclination of picture pick-up device with respect to textiles.Because the warp of textiles is usually perpendicular to the horizontal plane of textile machine, so the vertical line of picture pick-up device is equal to the angle of inclination of the horizontal line and the textile machine horizontal plane of picture pick-up device with respect to the angle of inclination of textiles warp.
The vertical line of picture pick-up device is similar to the measurement of the horizontal line of picture pick-up device with respect to the angle of inclination of textiles parallel with respect to the measuring method at the angle of inclination of textiles warp.At first image is carried out 1 * 32 Wiener filtering and handle, filter out the broadwise composition in the image, make and only contain the warp-wise composition in the image after the processing and promptly change by the brightness in the horizontal direction of the caused image of the warp of textiles.Set up new image coordinate system, the horizontal direction of image is the longitudinal axis, and the vertical direction of image is a transverse axis, and the lower right corner of image is an initial point.Select many warps to do curve fit and calculate, and get the mean value of a plurality of result of calculations.In result of calculation, the slope ν of straight line is corresponding to the inclination angle beta of warp with respect to image vertical line (also being the vertical line of picture pick-up device), i.e. ν=tg β.So just can obtain inclination angle beta.
Certainly, picture pick-up device also can adopt additive method to obtain with respect to the angle of inclination of textiles.As horizontal line and the textile machine horizontal plane keeping parallelism (angle of inclination is considered as zero) that in the process of Installation and Debugging, guarantees picture pick-up device, if can't guarantee the parallel angle of inclination that then can obtain picture pick-up device horizontal line and textile machine horizontal plane by actual measurement, this angle of inclination is exactly the angle of inclination of picture pick-up device vertical line with respect to the textiles warp.
The angle of textiles warp and parallel is λ=90 °-(alpha-beta) like this, and wherein (alpha-beta) corresponding to skew of weft S, i.e. S=tg (alpha-beta).
Interface is responsible for and whole latitude instrument and other devices communicatings, is used for receiving the concurrent censorship survey of instruction or data result data.
Preferably, the signaling mode of CCD adopts pal mode, and frame frequency was 25 width of cloth/seconds, and detection speed is per second 25 times, and 20 measurements of per second can meet the demands usually.Measure error is better than 2 ‰.
In the specific embodiment, be that example has been described processing method and process with the woven fabric.Although knitted fabric does not have warp and parallel, but constitute by maille line and stringer.But for knitted fabric, in the image of the knitted fabric that obtains by picture pick-up device, also can there be the cyclically-varying on level and the vertical direction in brightness of image, therefore, can think, the periodicity brightness of horizontal direction changes and is caused by wale, and the periodicity brightness of vertical direction variation is caused by row.Therefore, the present invention equally also can measure the angle of inclination of row.So this method is suitable equally for knitted fabric.
Certainly, when the analyzing and processing image, also can be without filtering warp-wise composition or broadwise composition, but directly the image that is obtained is handled.
The present invention is owing to adopt picture pick-up device and image processing techniques, common mechanical parts such as motor in the detection method have been abandoned in the past, when keeping certainty of measurement, not only make checkout equipment weight saving, reliability improve and be prolonged service life, and enlarged the scope of application of checkout equipment.
Claims (10)
1. the checkout gear of a textiles skew of weft comprises:
Light source is used to shine textiles to be detected, makes textiles meet the shooting illumination condition;
Picture pick-up device is used for the textiles that will detect is taken;
Signal processing module is used for the picture signal that described picture pick-up device photographs is handled, and obtains the skew of weft of textiles at the picture pick-up device place;
Interface is used for and whole latitude instrument and other devices communicatings, receives instruction or the concurrent censorship survey of data result data from them.
2. checkout gear as claimed in claim 1 is characterized in that, light source throws light on to fabric to be measured with transmission or reflection way, and light condition good times source also can be closed.
3. the described checkout gear of one of claim as described above is characterized in that described textiles can be that woven fabric also can be a knitted fabric.
4. the detection method of a textiles skew of weft comprises following step at least:
(a) take the image of textiles to be measured with picture pick-up device;
(b) picture signal that above-mentioned steps is photographed is handled, and obtains the skew of weft of textiles at the picture pick-up device place.
5. detection method as claimed in claim 4 is characterized in that, wherein step (b) comprises the picture signal that analyzing and processing is taken, therefrom determines textiles equator or the row angle of inclination with respect to picture pick-up device.
6. detection method as claimed in claim 5, it is characterized in that, wherein step (b) also comprises the picture signal that analyzing and processing is taken, therefrom determine textiles middle longitude or wale angle of inclination, obtain the skew of weft of textiles with respect to the angle of inclination of picture pick-up device and textiles middle longitude or wale with respect to the angle of inclination of picture pick-up device at the picture pick-up device place by the textiles equator of being determined or row with respect to picture pick-up device.
7. detection method as claimed in claim 5, wherein step (b) comprises the warp-wise composition that filters out in the taken picture signal, it is the periodicity brightness variation on the horizontal direction, only keep the broadwise composition, be the cyclically-varying of brightness on the vertical direction, therefrom determine textiles equator or row angle of inclination with respect to picture pick-up device.
8. detection method as claimed in claim 6, wherein step (b) also comprises the broadwise composition that filters out in the taken picture signal, it is the periodicity brightness variation on the vertical direction, only keep the warp-wise composition, it is the cyclically-varying of brightness on the horizontal direction, therefrom determine textiles middle longitude or wale angle of inclination, obtain the skew of weft of textiles with respect to the angle of inclination of picture pick-up device and textiles middle longitude or wale with respect to the angle of inclination of picture pick-up device at the picture pick-up device place by the textiles equator of being determined or row with respect to picture pick-up device.
9. as claim 4 or 5 described detection methods, wherein step (b) also comprises the angle of inclination of direct measurement picture pick-up device with respect to textile machine, obtains the skew of weft of textiles at the picture pick-up device place according to the textiles equator of determining in this angle of inclination and claim 4 or 5 or row with respect to the angle of inclination of picture pick-up device.
10. as the described method of one of claim 4-9, textiles wherein can be a woven fabric, also can be knitted fabric.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200410060096 CN1715551B (en) | 2004-06-28 | 2004-06-28 | Detecting method for textile bias |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200410060096 CN1715551B (en) | 2004-06-28 | 2004-06-28 | Detecting method for textile bias |
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| CN1715551A true CN1715551A (en) | 2006-01-04 |
| CN1715551B CN1715551B (en) | 2010-08-04 |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102901466A (en) * | 2012-10-31 | 2013-01-30 | 江南大学 | Fabric weft inclination detection method based on image analysis |
| CN103399142A (en) * | 2013-08-01 | 2013-11-20 | 上海嘉麟杰纺织品股份有限公司 | Scale used for measuring slope of knitted single yarn single jersey |
| CN103866551A (en) * | 2014-03-28 | 2014-06-18 | 南京理工大学 | Fabric weft inclination rapid-detection method based on machine vision |
| CN103924432A (en) * | 2014-04-28 | 2014-07-16 | 辽宁大学 | Woven fabric weft skewing detection method |
| CN107923076A (en) * | 2015-09-01 | 2018-04-17 | 必佳乐公司 | For optimizing the apparatus and method of fabrication processes |
| CN108664588A (en) * | 2018-05-07 | 2018-10-16 | 中山市元目图像科技有限公司 | Automatic method for online detection and control of cloth skewing |
| CN108709503A (en) * | 2018-06-27 | 2018-10-26 | 鲁丰织染有限公司 | Printed fabric skew of weft measurement method and device |
| CN109211918A (en) * | 2018-08-28 | 2019-01-15 | 河海大学常州校区 | A kind of fabric weft bow detection method based on weft yarn trend |
| CN110373885A (en) * | 2019-07-04 | 2019-10-25 | 盎古(上海)科技有限公司 | The performance data processing method and processing device of fabric |
| CN110670331A (en) * | 2019-11-19 | 2020-01-10 | 绍兴柯桥浙工大创新研究院发展有限公司 | Fabric perching equipment and process |
| CN111719304A (en) * | 2020-07-03 | 2020-09-29 | 绍兴柯桥香川纺织有限公司 | Automatic weft straightening equipment for wall cloth |
| CN115294165A (en) * | 2022-10-10 | 2022-11-04 | 江苏欧罗曼家纺有限公司 | Intelligent operation method for textile singeing process based on machine vision |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NL8601818A (en) * | 1986-07-11 | 1988-02-01 | Picanol Nv | METHOD FOR CHECKING THE POSITION OF THE TISSUE THREADS OF A TISSUE |
| DE69515644T2 (en) * | 1995-05-04 | 2000-11-16 | Mahlo Gmbh & Co Kg | Method and device for determining the draft angle in a textile web |
| JP2002543305A (en) * | 1999-04-30 | 2002-12-17 | マーロ ゲゼルシャフト ミット ベシュレンクテル ハフツング ウント コンパニー コマンディトゲゼルシャフト | Method for determining draft angle of textile and apparatus for implementing the method |
| IT1314910B1 (en) * | 2000-07-26 | 2003-01-16 | Eta Consulting S R L | METHOD AND TOOL FOR DETERMINING ANGLES OF DISTORTION WOVEN OR SIMILAR STILL OR MOVING |
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- 2004-06-28 CN CN 200410060096 patent/CN1715551B/en not_active Expired - Fee Related
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102901466A (en) * | 2012-10-31 | 2013-01-30 | 江南大学 | Fabric weft inclination detection method based on image analysis |
| CN103399142A (en) * | 2013-08-01 | 2013-11-20 | 上海嘉麟杰纺织品股份有限公司 | Scale used for measuring slope of knitted single yarn single jersey |
| CN103866551A (en) * | 2014-03-28 | 2014-06-18 | 南京理工大学 | Fabric weft inclination rapid-detection method based on machine vision |
| CN103866551B (en) * | 2014-03-28 | 2016-04-20 | 南京理工大学 | Based on the fabric skew quick detecting method of machine vision |
| CN103924432A (en) * | 2014-04-28 | 2014-07-16 | 辽宁大学 | Woven fabric weft skewing detection method |
| CN107923076A (en) * | 2015-09-01 | 2018-04-17 | 必佳乐公司 | For optimizing the apparatus and method of fabrication processes |
| CN108664588B (en) * | 2018-05-07 | 2021-09-21 | 中山市元目图像科技有限公司 | Automatic method for online detection and control of cloth skewing |
| CN108664588A (en) * | 2018-05-07 | 2018-10-16 | 中山市元目图像科技有限公司 | Automatic method for online detection and control of cloth skewing |
| CN108709503A (en) * | 2018-06-27 | 2018-10-26 | 鲁丰织染有限公司 | Printed fabric skew of weft measurement method and device |
| CN109211918A (en) * | 2018-08-28 | 2019-01-15 | 河海大学常州校区 | A kind of fabric weft bow detection method based on weft yarn trend |
| CN110373885A (en) * | 2019-07-04 | 2019-10-25 | 盎古(上海)科技有限公司 | The performance data processing method and processing device of fabric |
| CN110373885B (en) * | 2019-07-04 | 2022-03-11 | 盎古(上海)科技有限公司 | Method and device for processing characteristic data of fabric |
| CN110670331A (en) * | 2019-11-19 | 2020-01-10 | 绍兴柯桥浙工大创新研究院发展有限公司 | Fabric perching equipment and process |
| CN110670331B (en) * | 2019-11-19 | 2022-03-22 | 绍兴柯桥浙工大创新研究院发展有限公司 | Fabric perching equipment |
| CN111719304A (en) * | 2020-07-03 | 2020-09-29 | 绍兴柯桥香川纺织有限公司 | Automatic weft straightening equipment for wall cloth |
| CN115294165A (en) * | 2022-10-10 | 2022-11-04 | 江苏欧罗曼家纺有限公司 | Intelligent operation method for textile singeing process based on machine vision |
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